{"uid":"cap_iqRI-DO1SpZUgnzjrzlj_","slug":"transformation-throughput-numeric-row-ordering-numeric-interval-filter-51e86ca2","name":"Transformation Throughput — Numeric Row Ordering + Numeric Interval Filter","description":"Transformation throughput — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-113?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_qlPh1TPtQHQ5A4himZ3lL","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Orders transformation throughput records (processed_rows, duration_seconds) numerically and filters them by a numeric interval, delivering two analytical reports from supplied data.","exampleAgentPrompt":"Sort my transformation throughput records by processed_rows and filter to only show rows where processed_rows is between 100 and 5000 — here are my records: row-1 (group-a, 2026-10-01, 80 processed_rows, 5 duration_seconds), row-2 (group-b, 2026-10-02, 500 processed_rows, 12 duration_seconds), row-3 (group-a, 2026-10-03, 6000 processed_rows, 30 duration_seconds).","exampleUseCases":[{"title":"Filter slow ETL jobs by duration","prompt":"I have a list of ETL pipeline runs with duration_seconds and processed_rows — can you filter and sort them by duration_seconds, keeping only the runs where duration_seconds is between 30 and 300? Here are the rows: run-1 (group-a, 2026-11-01, 1200 processed_rows, 25 seconds), run-2 (group-b, 2026-11-02, 8000 processed_rows, 150 seconds), run-3 (group-a, 2026-11-03, 300 processed_rows, 400 seconds)."},{"title":"Rank dataset groups by volume processed","prompt":"Sort these transformation records by processed_rows from lowest to highest and only include records where processed_rows falls between 500 and 50000: row-a (batch-1, 2026-09-01, 450 rows, 10 seconds), row-b (batch-2, 2026-09-02, 12000 rows, 40 seconds), row-c (batch-3, 2026-09-03, 75000 rows, 200 seconds), row-d (batch-1, 2026-09-04, 3000 rows, 20 seconds)."},{"title":"Identify mid-range throughput pipeline runs","prompt":"From this set of pipeline throughput records, give me two reports: one sorted numerically by duration_seconds and one filtered to only include records where duration_seconds is between 5 and 60. Records: job-1 (stream-a, 2026-10-10, 100 processed_rows, 3 seconds), job-2 (stream-b, 2026-10-11, 400 processed_rows, 22 seconds), job-3 (stream-a, 2026-10-12, 900 processed_rows, 85 seconds)."}],"resultDescription":"Returns two analytical reports: one with transformation throughput records ordered numerically by the specified field (processed_rows or duration_seconds), and one filtered to only include records whose field value falls within the specified [minimum, maximum] interval. Up to 200 input rows are supported.","failureModes":["Input array empty or missing — requires at least 1 row","Row missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","More than 200 rows submitted — exceeds max item limit","Date field does not match YYYY-MM-DD pattern — schema validation failure","Minimum value greater than maximum value — may return empty filter result","processed_rows or duration_seconds out of allowed numeric range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records (with processed_rows and duration_seconds fields) and need both a numerically sorted view and a range-filtered subset in a single API call. It is ideal for lightweight, local analytical reporting on ETL or batch job metrics without requiring a full data warehouse query or external analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:02.301Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-numeric-row-ordering-numeric-interval-filter-51e86ca2"}